Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares حسب ALMutawa, Jaafar

"…Since the LTS is combinatorial optimization problem the randomized algorithm has been proposed in order to achieve the optimal estimate. …"
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Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

"…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …"
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Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

"…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. …"

DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications حسب Danya A. Saifaldeen (19498705)

"…Within the system, both sheets function as IRS. The aim is to enhance the secrecy capacity (SC) of the system by optimizing the beamforming weights at the VLC fixtures, the beamforming weights at the mmWave AP, the mirror array configurations, and the phase shift vector while meeting specific power constraints. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik Rafikiran (15838929)

"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"

Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control حسب Farhat Mahmood (15468854)

"…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. The multilayer perceptron model is trained using historical data from the greenhouse with solar radiation, outside temperature, humidity difference, fan speed, HVAC control as the input parameters to predict the temperature. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik, Rafikiran

"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
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Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility حسب Islambouli, Rania

"…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …"
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Control of cardiac alternans by mechanical and electrical feedback حسب Yapari, Felicia

"…A persistent alternation in the cardiac action potential duration has been linked to the onset of ventricular arrhythmia, which may lead to sudden cardiac death. …"
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A novel network-based SIS framework for improved GA performance حسب Tohme, Rawane

"…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …"
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Shuffled Linear Regression with Erroneous Observations حسب Saab, Samer S.

"…This paper tackles this problem in its full generality using stochastic approximation, which is based on a first-order permutation-invariant constraint. We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …"
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A Dual Vibration Absorber for Vibration Suppression of Harmonically Forced Systems حسب El Khoury, Elie

"…Then, a numerical technique based on both the genetic algorithm and the search simplex method is used to calculate the optimal system parameters. …"
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Genetic Fuzzimetric Technique (GFT) حسب Kouatli, Issam

"…Integration of fuzzy systems with genetic algorithm has been identified by researchers as a useful technique of optimizing systems under uncertainty. …"
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Iterative heuristics for multiobjective VLSI standard cellplacement حسب Sait, Sadiq M.

"…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …"
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Autonomous Robot Navigation Based On Recurrent Neural Networks حسب Al-Sagban, Mariam Qusai

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EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING حسب Sait, Sadiq M.

"…The interest in finding an optimal partitioning especially in VLSI, and has been a hot issue in recent years. …"
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A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments حسب Barada, Hassan

"…The various steps of the SE approach are discussed in details. Goodness functions required by SE are designed and explained. …"
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Leveraging UAVs for Coverage in Cell-Free Vehicular Networks حسب Samir, Moataz

"…Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …"
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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General iterative heuristics for VLSI multiobjective partitioning حسب Sait, Sadiq M.

"…In this paper, we engineer two iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …"
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